Papers by Muchen Li
Test-Time Steering for Lossless Text Compression via Weighted Product of Experts (2025.findings-emnlp)
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| Challenge: | gzip and neural compression models often lead to poor performance in unseen data. |
| Approach: | They propose a framework that performs Test-Time Steering via a Weighted Product of Experts (wPoE) |
| Outcome: | The proposed framework performs Test-Time Steering via a Weighted Product of Experts (wPoE) it integrates with any autoregressive language model, providing a practical solution for enhancing text compression across diverse data distributions. |
Dual-Phase Accelerated Prompt Optimization (2024.findings-emnlp)
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| Challenge: | Existing methods for prompt optimization make light of the importance of high-quality initialization and the identification of effective directions. |
| Approach: | They propose a method which uses a meta-instruction to generate high-quality initial prompts and iteratively optimize them at the sentence level. |
| Outcome: | The proposed method achieves consistent accuracy gain over baselines with less than five optimization steps. |